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Siyang Li

2 papers in the library · publishing 2022-2023

Papers

Highly connected and highly variable: A Core brain network during resting state supports Propofol-induced unconsciousness.

Human Brain Mapping February 1, 2023 Siyang Li, Yali Chen, Peng Ren et al.

Brain regions that are both highly connected to other hub regions (rich-club) and variable in their module membership across time are candidates for the neural correlates of consciousness. In resting-state fMRI data from 21 subjects, such regions were located in prefrontal and temporoparietal cortices. Dynamic analysis revealed two recurring brain states: one dominated by these candidate regions and the other by primary sensory/motor regions. The candidate-dominated state was temporally more stable, suggesting it sustains conscious content. The functional connectedness and modular variability of these candidates decreased with propofol-induced loss of consciousness.

Differential Alterations to the Metabolic Connectivity of the Cortical and Subcortical Regions in Rat Brain During Ketamine-Induced Unconsciousness.

Anesthesia and analgesia November 1, 2022 Yali Chen, Siyang Li, Xia Liang et al.

Ketamine anesthesia increased glucose metabolism across most brain regions in rats, but reduced metabolic connectivity and network efficiency in the cortex while increasing them in subcortical regions. The study used FDG-PET imaging on 20 adult rats given saline (awake), low-dose ketamine (subanesthesia), and high-dose ketamine (anesthesia). Graph-theory analysis showed that during ketamine anesthesia, global efficiency decreased in the cortex and increased in the subcortex compared to the awake state. These changes in cortical metabolic networks may help explain how general anesthesia induces loss of consciousness.